The closer the linear correlation coefficient between two observations x and y is to 1, the more evidence one has to claim that
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It is completing the square. Very useful since it finds the min or max.
y = x^2 + 8x + 17
y = (x^2 + 8x + ... ) + 17
y = x^2 + 8x + (8/2) ^2 + 17 - 4^2
y = (x^2 + 8x + 4^2 ) + 17 - 16
y = (x^2 + 8x + 16) + 1
y = (x + 4)^2 + 1
This means that the graph has a minimum at (-4 , 1) Check it out on the graph I've given you.
y = x^2 + 8x + 17
y = (x^2 + 8x + ... ) + 17
y = x^2 + 8x + (8/2) ^2 + 17 - 4^2
y = (x^2 + 8x + 4^2 ) + 17 - 16
y = (x^2 + 8x + 16) + 1
y = (x + 4)^2 + 1
This means that the graph has a minimum at (-4 , 1) Check it out on the graph I've given you.